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A Heuristic Methodology for Optimal Deployment of Radar Systems in a Constrained Area of Operation

机译:一种启发式方法,用于在受约束的操作区域中最佳地部署雷达系统

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In emerging network-centric warfare scenarios, the location of sensors in the sensor-grid plays a dominant role in determining the effectiveness of air defence against enemy air threats. Maximising the coverage area of sensors in the sensor-grid, considering operational performance parameters, terrain features and deployability is a challenging task for military operational planners and commanders. Such optimisation problems may not be amenable to classical operations research techniques, or may require enormous computational time to arrive at the results as the decision space grows non-linearly for large areas of operation. In this paper, a novel methodology that uses a heuristic technique (genetic algorithms) to compute the optimal or near-optimal deployment locations for a given set of sensors in a constrained area of operation is proposed. The proposed methodology is illustrated with a number of case studies and a decision support tool is developed as an aid to the military commanders.
机译:在新兴的网络中心的战争场景中,传感器网格中传感器的位置在确定防止敌人的空气威胁的效力方面起着主导作用。在传感器网格中最大化传感器的覆盖区域,考虑操作性能参数,地形功能和可部署性是军事业务规划者和指挥官的具有挑战性的任务。这种优化问题可能不适用于经典操作研究技术,或者可能需要巨大的计算时间来达到结果,因为决策空间为大型操作面积不线性地增长。在本文中,提出了一种使用启发式技术(遗传算法)来计算用于在受约束的操作区域中计算给定的传感器集的最佳或近最佳部署位置的新方法。所提出的方法用许多案例研究说明,决策支持工具被制定为对军事指挥官的援助。

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